Accounts

Rank by what the profile claims or by what we measured. The two disagree by orders of magnitude, which is the whole reason both are here. Pick a topic to rescope every measured column to that niche. Defaults to the MD roster: accounts with a poll_state row, which is what distinguishes a roster member from a discovered candidate.

MD roster
47,737
56.9% · all polled
Undecided
33,449
39.9% · no country, never polled
Parked adjacent
2,714
3.2% · resolved non-MD, never polled
326ms
clear

Ranking 25,567 accounts with 5 captured posts. Averages over one or two posts are noise, not a ranking. show everything

Filtering the full discovered table, not the roster. The two are not intersected, because roster already means country=MD and combining them would return an empty table for any other country. The polled column shows which of these are actually on a schedule.

#AccountCountryTierTop topicFollowersTotal likesAvg playsEng.×folCaptured
1@big_vovan_BIG_VOVAN_MDdormant842,31018,145,4127,292,7213.9%8.7×30
2@kseshaxhтгк: ксеша 🐾 🐈‍⬛MDCother 100%1,828,72837,068,1103,889,9755.0%2.1×31
3@bivol.dDmitry BivolMDC1,375,75221,010,4043,736,7079.2%2.7×31
4@mihailcazac.officialMihail CazacMDBculture_history 100%390,7358,499,0993,128,1943.1%8.0×32
5@dima_white_life977dima_white_life977MDBculture_history 50%1,286,06125,822,5522,247,5044.1%1.7×33
6@user202512356The UsersMDBother 100%1,572,71878,230,4171,955,2719.9%1.2×30
7@nekoglaiНиколайMDC12,337,042505,078,9591,849,3695.8%0.1×30
8@jelina_familyJelina_FamilyMDB2,301,90323,471,4711,594,5892.1%0.7×30
9@ionelistrati.comIONEL ISTRATIMDBculture_history 67%457,4509,368,0241,551,9971.8%3.4×33
10@vlad_tattoo_creativvlad_tattoo_creativ...MDC298,6374,021,7661,551,0552.0%5.2×33
11@olgaconicovTriplets_storyMDC178,2802,791,6691,168,3862.8%6.6×30
12@retetele.marieiretetele.marieiMDB448,79411,029,2711,112,2743.2%2.5×33
13@iulianaberegoiIuliana BeregoiMDBculture_history 50%3,350,460190,911,4251,057,6144.2%0.3×33
14@dima_whiteheartdima_WhiteHeartMDBother 50%1,393,25728,977,0811,037,4885.6%0.7×33
15@denistatto007Denis tattoMDB361,00814,629,2431,019,1641.2%2.8×33
16@burenescu.familyBurenescu_familyMDC294,4273,038,3141,008,3202.4%3.4×31
17@dumitrucomanacDumitruComanacMDC471,5125,979,564934,2061.4%2.0×33
18@whoislorianaLori IonitaMDCother 100%25,5843,828,750825,8937.7%32×32
19@moldova__2025moldova__2025MDdormant78,7840804,6572.6%10×30
20@taniusha_89Maxian TatianaMDCother 100%203,7466,539,676773,2226.3%3.8×33
21@wsxxsww13I_G.777MDC2,029511,655753,99813.5%372×5
22@kingofcopper8King of CopperMDBeconomy_business 50%259,5864,487,678749,6563.7%2.9×30
23@anatoliemelnicAnatolie MelnicMDC414,0277,627,829722,2704.6%1.7×33
24@autoseller.chisinauAUTOSELER CHISINAU 🛞MDC10,5821,010,116647,1624.5%61×32
25@mech.thaiMechThaiMDCother 100%19,696841,063615,1944.4%31×31
26@moldovanka_008moldovankaMDCother 50%49,8421,479,411607,7074.2%12×32
27@eugen_anghelOrange BlueMDBother 100%634,9056,066,648594,5472.2%0.9×30
28@unactorsilviuunactorsilviuMDC193,8914,637,679594,4674.3%3.1×33
29@petsscxPetsSCXMDdormantfamily_relationships 100%27,298150,469552,7703.9%20×7
30@33manole3333manole33MDB273,1607,719,357524,5775.4%1.9×33
31@cooking_with_daniela1Daniela_cookingMDBeconomy_business 100%522,16310,690,322521,1333.2%1.0×33
32@esc.alex_ESC.AlexMDC16,3732,878,948512,2966.6%31×33
33@vasilii1__4ВасилийMDCother 100%1,936252,326497,7568.4%257×6
34@jakiciEugen 🦋MDBculture_history 100%632,10141,350,711487,50610.6%0.8×33
35@uniqumpeopleuniqumpeopleMDC183,49017,115,546480,1513.9%2.6×29
36@carsmd1MDC2,028127,508476,9390.2%235×33
37@navast.uanavast.uaMDdormant37,195202,595474,2041.9%13×22
38@toha___97Anton.SusuMDdormant77,398637,307473,4689.6%6.1×14
39@padzimelyaboxingclubPadzimelya_boxingclub🥊MDdormant168,8343,061,986472,9967.6%2.8×32
40@licav_ℒ𝒾𝒸𝒶MDC14,3372,259,128472,76714.4%33×11
41@santehnicuSantehnicu din ChisinauMDC83,601917,726451,4432.9%5.4×30
42@rotisor_mihairotisor_mihaiMDC37,087483,616448,0761.1%12×33
43@faust9076ШаолиньMDBother 100%35,099540,007432,5472.6%12×30
44@gcldenwiulianaIuliana BeregoiMDC161,3975,278,741425,3817.3%2.6×31
45@tamila_grandeTamila GrandeMDdormant597,19324,610,481420,92110.2%0.7×33
46@drigaartiomDriga ArtiomMDdormant82,5332,738,599413,8342.1%5.0×30
47@imiplacemd🇲🇩 Типичная МолдоваMDBweather_environment 100%46,6803,020,229408,8367.3%8.8×33
48@margarihkf3ритусикMDC179,0862,841,140405,1656.2%2.3×31
49@waniusa_officiall999Waniusa_official999MDBfamily_relationships 50%912,50530,966,481394,5325.5%0.4×33
50@intelcorre7Sane3x²yMDC9,044192,258391,1778.2%43×6

Followers are the claim; plays are the evidence. A follower count is cumulative and never decays, so it records who an account once was. @garik.ugarik holds 6,567,817 followers and averages 29,025 plays a post, 0.004 per follower, while @autoseller.chisinau holds 10,582 and averages 647,161. Sorting by followers puts the first two hundred places above the second. The ×fol column is that ratio; anything above 1× is reaching past its own following.

Capturedis how many of the account’s posts we actually hold, and every measured column is an average over exactly those posts. It is usually far below the profile’s own post count because one poll returns one page of at most 30. Lookback depth is inversely proportional to posting rate rather than a measure of the account.